We help businesses evaluate, improve, and deploy customer-facing AI—then verify how it performs with captured evidence, clear specifications, and accountable oversight.
CAPTURED EVIDENCE · FIX SPECIFICATIONS · RE-SCAN · SIGNED RECORD
The concrete way in
Verification of your customer-facing chatbot.
The paid entry is one surface, checked end to end: what your chatbot — or the public AI answering for you — tells customers, set against what you actually publish, with captured evidence, a fix specification, and a signed record. Scoped after a thirty-minute call.
AI is already answering questions about your business.
Ask an AI assistant about a business and it answers in full sentences, with confidence — prices, services, policies, availability. Nobody submits those answers for approval. When one is wrong, the customer doesn't find out from you. They find out at your front desk.
Prices
A quoted price from the wrong service. A DFW med spa's 6-session laser package: Google's AI answered with a different service's promotional price — a $1,500 gap a customer discovers in person.
Services
An offer the attorney does not make. An estate-planning attorney, per the AI: free 30-minute consultations. The attorney's site offers no free consultation and isn't taking new clients.
Availability
A schedule nobody published. A law firm with no schedule on its site: the AI supplies a full weekday schedule anyway.
Identity
A business missing from its own answer. Asked about an immigration law firm by name, the AI recommended a hospice, a family doctor, and an astrologer instead.
All four came from one sweep of thirteen Dallas–Fort Worth businesses on a single July day. Six scans came back clean — those results are in the log too.
One lifecycle
Observe, verify, fix, decide, build, re-verify.
One standard of evidence runs the whole lifecycle. Independent verification is the entry; consulting is the continuation it funnels into when the evidence earns it.
01
Observe
We capture what the AI surfaces around your business are telling customers — Google's AI, ChatGPT, your own chatbot — with the prompt, surface, and timestamp preserved.
02
Verify
Independent verification of AI we had no hand in building: each checkable claim set against your published facts, documented in a findings report. This is the entry engagement.
03
Fix
A fix specification your web person or agency can apply. Where verification is the engagement, we stay the inspector — the repair is yours to place.
04
Decide
Advisory on what the evidence supports: what to fix, what to build, what to leave alone. Scoped in a call, not a package.
05
Build
Where the decision is to build, we build, host, and operate light customer-facing AI on our own infrastructure — you do the minimum on your side.
06
Re-verify
Surfaces we had no hand in get re-scanned the same way they were first checked. AI we built and host gets continuous QA and monitoring under our own name — and the labels stay distinct on purpose.
From our July 13 sweep, anonymized by sector, quoted verbatim. The evidence and the business's own published page were captured the same day.
FINDING F-2026-07-13-01Wrong
AI understates a 6-session laser package by $1,500.
Med spa, Dallas–Fort WorthGoogle AI Overviewlogged-out desktopCaptured 2026-07-13 · 15:34 UTC
What the AI said
“promotional packages start at $399 for 6 sessions.”
Google AI Overview · 2026-07-13 · 15:34 UTC
−$1,50079% below the published price
What the business publishes
“Get 6 Full Body Laser Hair Removal Sessions for Only $1,899!”
The business's own published offer page, same day
The $399 belongs to a different service — a laser-facial promotion on the same site. The AI cross-wired that price onto the 6-session package. A customer books expecting $399 and is quoted $1,899 at the front desk.
Captured2026-07-13 15:34 UTCCorroboratedagainst the published offer pageDocumentedthis entryCorrectionbusiness not yet engaged
We ask the AI what your customers ask, and preserve the full answer with its prompt, surface, and timestamp.
02
Corroborate
→ Corroboration record
Each checkable claim in the answer is set against your own published facts — your site, your listings, your prices.
03
Document
→ Findings report
What's wrong, what's missing, and what checks out — written for an owner, with the receipts in an appendix.
04
Correct
→ Fix specification
A fix specification your web person can apply in an afternoon: the exact change, where it goes, and how you'll know it worked.
05
Re-scan
→ Re-scan + certificate
After the fixes land, we run the same checks again. When the surfaces hold up, the engagement closes with a signed record.
Who signs the work
The process checks the findings. Cooper signs the record.
Daily AI Agents is a Texas firm founded by Cooper Reed in Dallas. The checking is built into the process: answers are captured deterministically, findings route by severity, and anything ambiguous lands in an exception queue instead of the report.
Cooper reviews findings on a sampled, judgment basis — the exceptions, the severe ones, and the calls the process can't make — and signs what leaves the firm.
Building the standard for AI that businesses can trust.
A certificate with a scope, a date, and a signature.
When a re-scan holds up, the engagement closes with an accuracy certificate: the business's name, the surfaces tested, the scan dates, and a human signature — registered at a permanent URL anyone can check. It applies to the named surfaces, prompts, facts, and re-scan date shown; AI outputs may change after issuance, which is exactly why the certificate says so.
Certificate of AI answer accuracy
Specimen — format only · no certificate issued yet
Issued to
The business's legal name
Surfaces tested
The exact AI surfaces and prompts checked
Initial scan
Date of first capture
Re-scan
Date the corrected surfaces were re-checked
Status
Current · Expired · Superseded — kept visible in the record
Registry record
usedailyai.com/certificates/ + certificate ID
Verified for the named surfaces, prompts, facts, and re-scan date shown. AI outputs may change after issuance.
